3716 search results - page 216 / 744 » On the monotonization of the training set |
189
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ECCV
2002
Springer
16 years 8 months ago
2002
Springer
Abstract. In many vision problems, the observed data lies in a nonlinear manifold in a high-dimensional space. This paper presents a generic modelling scheme to characterize the no...
157
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ICPR
2002
IEEE
16 years 7 months ago
2002
IEEE
A key problem faced by classifiers is coping with styles not represented in the training set. We present an application of hierarchical Bayesian methods to the problem of recogniz...
178
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IPMI
1999
Springer
16 years 7 months ago
1999
Springer
1 We propose to use statistical models of shape and texture as deformable anatomical atlases. By training on sets of labelled examples these can represent both the mean structure a...
142
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IPMI
2003
Springer
16 years 7 months ago
2003
Springer
Abstract. Estimating statistical significance of detected differences between two groups of medical scans is a challenging problem due to the high dimensionality of the data and th...
180
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
After a classifier is trained using a machine learning algorithm and put to use in a real world system, it often faces noise which did not appear in the training data. Particularl...